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Forward Deployed Engineer (FDE), AI / LLM

HT Anywhere | Remote - Worldwide | full-time | 2026-10-13

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REMOTELY.LIVING OVERVIEW

Remote job snapshot

Forward Deployed Engineer (FDE), AI / LLM at HT Anywhere is classified as fully remote by remotely.living. Review the employer's requirements for location and eligibility details.

Remote model
Fully remote
Listed location
Remote - Worldwide
Employment type
full-time
Category
Software Engineering
Listing date
2026-10-13

Core skills

Python Pinecone AWS Azure Google Cloud Docker Kubernetes LLMs LangChain OpenAI

Remote verification

Classified as fully remote by remotely.living.

How we classify remote jobs

Analyzed and structured by remotely.living.

Job description

About the Role

We’re looking for an experienced Forward Deployed Engineer (FDE) to build and deploy real-world AI solutions for international clients.

This role combines strong software engineering skills with a practical understanding of business needs.

You’ll work directly with clients, understand their challenges, design technical solutions, and take AI-powered applications from concept to production.

We’re looking for someone who can do more than write code — someone who can take ownership and make things work.

What You’ll Do

- Work directly with clients to understand their business needs and technical requirements.

- Design, build, and deploy AI-powered applications and integrations.

- Develop LLM-based solutions, RAG pipelines, and AI agents.

- Integrate AI solutions with existing APIs, databases, and enterprise systems.

- Build scalable backend services and production-ready infrastructure.

- Own the full implementation cycle, from discovery and prototyping to production deployment.

- Troubleshoot technical challenges and continuously improve deployed solutions.

Requirements

- 5+ years of software engineering experience.

- Strong Python development skills.

- Experience with backend development, APIs, and system architecture.

- Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models).

- Practical knowledge of RAG, AI agents, and LLM integrations.

- Experience with cloud platforms (AWS, GCP, or Azure).

- Docker, CI/CD, and production deployment experience.

- Strong problem-solving skills and ability to work independently.

- Comfortable communicating directly with international clients.

- English B2+.

Nice to Have

- Experience with LangChain, LangGraph, or similar frameworks.

- Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector).

- Kubernetes and distributed systems.

- Data engineering or ML infrastructure background.

- Experience as a Solutions Engineer, Solutions Architect, or Technical Consultant.

- Previous experience in client-facing engineering roles.

REMOTELY.LIVING INSIGHTS

Hiring activity at HT Anywhere

1 remote listings recorded · Latest listing Oct 13, 2026

1
Active now
0
Last 7 days
1
Last 30 days

Listings by publication week

Aug 31
Sep 7
Sep 14
Sep 21
Sep 28
Oct 5
Oct 12
Oct 19

Average Listing Life

7 / 120 days
0 days120 days

Based on 1 listings (1 active, 0 expired). Measured from publication date or first detection to today or recorded expiration. Each listing is capped at 120 days; employers may keep jobs open longer.

Based on retained listings on remotely.living. Repeated titles are not confirmed repostings; missing publication dates use first detection. Skills reflect active listings, not a verified internal company tech stack.

REMOTELY.LIVING INSIGHTS

Salary insights

Market estimate based on comparable remote job listings.

United States · USD · Monthly

10,800 Low estimate
12,000 Typical salary
17,500 High estimate

Very limited data · 5 comparable listings · 4 employers

Very limited data: only 4–7 comparable listings. Treat this as a rough indication.

Comparable job listings

AI Forward Deployed Engineer at Cognizant 10,833–12,500 USD · Archived

AI Solutions Engineer (Forward Deployed Engineer) at Dailypay 11,333–17,417 USD · Active

Forward Deployed AI Solutions Engineer at Natera 8,808–11,008 USD · Active

How is this calculated?

Low and high are weighted salary percentiles. Typical is the weighted median of salary midpoints from comparable active and archived listings. Recent and similar roles receive more weight. Figures may mix employment arrangements and gross/net salary bases. This is not compensation offered by this employer.